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<div class="contents">
<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>

<h3><a class="anchor" id="index_a"></a>- a -</h3><ul>
<li>addToMemory()
: <a class="el" href="classLWR.html#af9b33fa3eb774951ce659139c446f275">LWR</a>
</li>
</ul>


<h3><a class="anchor" id="index_b"></a>- b -</h3><ul>
<li>BPDC()
: <a class="el" href="classBPDC.html#a78ad1e1f3d76177d9a9ce42ffbdc8e2f">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
<li>currentInput
: <a class="el" href="classLWR.html#a1f10b43c5c2a8193a6a9a608ba1b4b25">LWR</a>
</li>
</ul>


<h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
<li>desiredOut
: <a class="el" href="classLinearRegression.html#a4955fea50332c1e52dff369a0ba9f1a0">LinearRegression</a>
</li>
<li>desiredOutput
: <a class="el" href="classLWR.html#ac00e856f9ef407f234cb3f06fe534d65">LWR</a>
</li>
<li>desiredSens
: <a class="el" href="classRTRL.html#a7c5691d2b26a3297c7b5502c1e5cbba3">RTRL</a>
, <a class="el" href="classBPDC.html#a958a3bcb34bd68bb5e0ad1816da42e82">BPDC</a>
</li>
<li>dt
: <a class="el" href="classBPDC.html#acf2123ec37f902bcdacd766376f3661c">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_e"></a>- e -</h3><ul>
<li>epsillon
: <a class="el" href="classBPDC.html#a72d62c2e516ddcefc2398e849349aef9">BPDC</a>
</li>
<li>error
: <a class="el" href="classLinearRegression.html#aabe743e668a3ae0d82f2da8978deb186">LinearRegression</a>
</li>
<li>errorBuff
: <a class="el" href="classBPDC.html#aef569d9244f88e7721e9ec1d40a22ae5">BPDC</a>
</li>
<li>euclideanDistance()
: <a class="el" href="classLWR.html#aac2ff932fc3f70eb73960f5e8d08a8bf">LWR</a>
</li>
</ul>


<h3><a class="anchor" id="index_f"></a>- f -</h3><ul>
<li>findRegressionCoefficieents()
: <a class="el" href="classLWR.html#a642dd3045c25dadc6b42c5a28dea9843">LWR</a>
</li>
<li>findWeights()
: <a class="el" href="classLWR.html#aed357f7a637671ea7dd9b27eb0e06227">LWR</a>
</li>
<li>forgettFactor
: <a class="el" href="classLinearRegression.html#aa783c40e02b8661f494c20ec8c724ca6">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
<li>getModelMatrix()
: <a class="el" href="classBPDC.html#ac9cb56a32a01b9a301aa5129834a73c2">BPDC</a>
, <a class="el" href="classLinearRegression.html#a57ef4db1ebbe11cffaf1874f04cd85eb">LinearRegression</a>
, <a class="el" href="classRTRL.html#aaf22833404251940557902695043d86d">RTRL</a>
, <a class="el" href="classLWR.html#a265ec39618dce7544e3602cd79a8dd98">LWR</a>
</li>
<li>getNodeSensitivity()
: <a class="el" href="classRTRL.html#a08b0ef1c329727b79240ee738abd2200">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_h"></a>- h -</h3><ul>
<li>heta
: <a class="el" href="classBPDC.html#ae28e6df7dbe289649e35facad3bc8572">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_i"></a>- i -</h3><ul>
<li>inputHistory
: <a class="el" href="classLWR.html#a1f9ee94677cb24599b3ee29e17f778fa">LWR</a>
</li>
<li>inputNodes
: <a class="el" href="classBPDC.html#a05f1ea7cce927d3e4223d26fbd803dbe">BPDC</a>
</li>
<li>inputNum
: <a class="el" href="classLinearRegression.html#aa1c2a397b9d243bd63998eab08e952ab">LinearRegression</a>
, <a class="el" href="classLWR.html#a0ca0d792f6a4dd569fa1ef9c5444e17f">LWR</a>
, <a class="el" href="classBPDC.html#a3fff4d746981fe91a9bcd047f16404c0">BPDC</a>
</li>
<li>inputs
: <a class="el" href="classLinearRegression.html#aacbab3190af48c974ef498394a206ec4">LinearRegression</a>
</li>
<li>inputWeights
: <a class="el" href="classBPDC.html#a242b8d0ff10d219018adc7b5dface3f5">BPDC</a>
</li>
<li>invCorrelation
: <a class="el" href="classLinearRegression.html#a06b23260af70aa7491394b081230c538">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_k"></a>- k -</h3><ul>
<li>kronneckerDelta()
: <a class="el" href="classBPDC.html#aa71e52e68d069ca789813dfe7ed0f5d5">BPDC</a>
, <a class="el" href="classRTRL.html#ac065c297b0a6bb668504798903aaa1e0">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_l"></a>- l -</h3><ul>
<li>learningRate
: <a class="el" href="classRTRL.html#aef2f207bf3fbd5c021c38ac47c43df1b">RTRL</a>
</li>
<li>LinearRegression()
: <a class="el" href="classLinearRegression.html#ad05db970a80e02c1f79a3db4d035d006">LinearRegression</a>
</li>
<li>LWR()
: <a class="el" href="classLWR.html#aabc73a50c1b096e88ae7bb0c5a1ef6b8">LWR</a>
</li>
</ul>


<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
<li>nodes
: <a class="el" href="classBPDC.html#a7bef215916138923f6c5cdddfb610877">BPDC</a>
</li>
<li>nodeSensitivity
: <a class="el" href="classRTRL.html#a37638ae70d7bbd0b03aa5c1b3ce55d47">RTRL</a>
</li>
<li>nodeState
: <a class="el" href="classRTRL.html#ab8432648bd198b508d3df70795a2e530">RTRL</a>
</li>
<li>numInputNodes
: <a class="el" href="classRTRL.html#aacf8aed7c8db184aac677b92cfb897c0">RTRL</a>
</li>
<li>numOutputNodes
: <a class="el" href="classRTRL.html#a8812c0b19a5dcf8bd60358eb2943ca5a">RTRL</a>
</li>
<li>numReservoirNodes
: <a class="el" href="classRTRL.html#a7efbd35c2dc8ce128d90beca0a48cfcb">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_o"></a>- o -</h3><ul>
<li>outputHistory
: <a class="el" href="classLWR.html#a5c01ae8d25bf4eb9a70241e3b262ea25">LWR</a>
</li>
<li>outputNum
: <a class="el" href="classBPDC.html#a1efa2e4e1ef509c8e6b068a264c70548">BPDC</a>
, <a class="el" href="classLWR.html#a2d6394b9ef3712d0e5fe6cedbee023b0">LWR</a>
, <a class="el" href="classLinearRegression.html#ac0ae52ea38fd61019d6d94845229a6f2">LinearRegression</a>
</li>
<li>outputState
: <a class="el" href="classRTRL.html#a008e08ccdfed2dc91d136f43def827f1">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
<li>predict()
: <a class="el" href="classBPDC.html#a7a854dad569a415405390c8cc67b0125">BPDC</a>
, <a class="el" href="classLinearRegression.html#a400c19eb43f36f33aa65fa7d13fd6b76">LinearRegression</a>
, <a class="el" href="classRTRL.html#a979080415f69760e4b9bcafb4bae4852">RTRL</a>
, <a class="el" href="classLWR.html#a13787a45cb90f6189fe8885b70c65465">LWR</a>
</li>
<li>predictedOut
: <a class="el" href="classLinearRegression.html#a732cefc5759ef27e2ddacda4bed7e652">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
<li>regression_coeff
: <a class="el" href="classLinearRegression.html#a47d66c19a4d50116875969be51248a6c">LinearRegression</a>
</li>
<li>regressionCoeff
: <a class="el" href="classLWR.html#a1e3e278ef9540100c9cd14fa8e5eec64">LWR</a>
</li>
<li>reservoirNum
: <a class="el" href="classBPDC.html#a895c192c71e4c91691c61cf2dcdd965e">BPDC</a>
</li>
<li>RTRL()
: <a class="el" href="classRTRL.html#aac03b72729c67ddb25db089171419cee">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_s"></a>- s -</h3><ul>
<li>setDesiredOut()
: <a class="el" href="classBPDC.html#a9bfa9ff04dd5115ff7abb834b55b39ce">BPDC</a>
, <a class="el" href="classLinearRegression.html#a47fb0dee714ba8d0cffe01b75c728613">LinearRegression</a>
, <a class="el" href="classRTRL.html#ac20cfd576eadeb8b1047a52c4ee6836a">RTRL</a>
, <a class="el" href="classLWR.html#abcfe8363f1707fe0d9b4fb7bcb7d66fa">LWR</a>
</li>
<li>setState()
: <a class="el" href="classRTRL.html#a8f6ce1e926cd66a14f86faab2a793096">RTRL</a>
, <a class="el" href="classBPDC.html#a50a5071ea857865a86576e74c69aede1">BPDC</a>
, <a class="el" href="classLinearRegression.html#adb0c59e076a7946d6fb6ceb39114f5b5">LinearRegression</a>
, <a class="el" href="classLWR.html#a9e21c991561a17d64f52fea458486cf5">LWR</a>
</li>
<li>simulateNet()
: <a class="el" href="classBPDC.html#a018adc454b0562c24b370460957eae1a">BPDC</a>
, <a class="el" href="classRTRL.html#ae5fe58a009095291e26cc03fbf38fd8c">RTRL</a>
</li>
<li>squash()
: <a class="el" href="classBPDC.html#a86c5fa382c8e1dd4e8ed5ba56c0c5fce">BPDC</a>
, <a class="el" href="classRTRL.html#a76632a4b39e49c7e2b7383f4b205531b">RTRL</a>
</li>
<li>squash_derivative()
: <a class="el" href="classRTRL.html#a3f6c5fb7336b2d9a5fa32c5c7fd8a098">RTRL</a>
, <a class="el" href="classBPDC.html#a023fd1821b0533d4c6610924040ed501">BPDC</a>
</li>
</ul>


<h3><a class="anchor" id="index_u"></a>- u -</h3><ul>
<li>updateWeights()
: <a class="el" href="classBPDC.html#a042277927c2583bb7a0cc366951c163b">BPDC</a>
, <a class="el" href="classRTRL.html#a335e29295c02ad387560296392bc2c72">RTRL</a>
, <a class="el" href="classLinearRegression.html#af89bc122f48bd024e7bef82ae2e8d84f">LinearRegression</a>
</li>
</ul>


<h3><a class="anchor" id="index_w"></a>- w -</h3><ul>
<li>weightData()
: <a class="el" href="classLWR.html#aa70d668c1ca5f6133f8a82afdd56ad35">LWR</a>
</li>
<li>weightedInputs
: <a class="el" href="classLWR.html#a8420c1052435c46cbd10c16ccf1ad485">LWR</a>
</li>
<li>weightedOutputs
: <a class="el" href="classLWR.html#afc99ad32e2d3095addf80ae231548ce9">LWR</a>
</li>
<li>weights
: <a class="el" href="classBPDC.html#a302ff738b16cfe38490f05884bbf689e">BPDC</a>
, <a class="el" href="classLWR.html#a3b27e56c511b0590541189646beca69c">LWR</a>
, <a class="el" href="classRTRL.html#ada2be9a65806afca86c8b74ec4043800">RTRL</a>
</li>
</ul>


<h3><a class="anchor" id="index_0x7e"></a>- ~ -</h3><ul>
<li>~BPDC()
: <a class="el" href="classBPDC.html#a5aa934f3701069f3bc7e8175d92ba5ca">BPDC</a>
</li>
<li>~LinearRegression()
: <a class="el" href="classLinearRegression.html#ab0ca8360d4aaab247b8156444ad988f8">LinearRegression</a>
</li>
<li>~LWR()
: <a class="el" href="classLWR.html#a074100005527ba3f2294a99143dacce6">LWR</a>
</li>
<li>~RTRL()
: <a class="el" href="classRTRL.html#a43fc82af4df69df76841433d454488ac">RTRL</a>
</li>
</ul>
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